Spring School: Interpretable Machine Learning Models in Biomedicine 2026

Szczegóły wydarzenia:

• Data:
• Czas: 09:00 AM-06:00 PM (expected)
• Lokalizacja: Germany , Altheim-Heiligkreuztal
• Typ:

The Spring School on Interpretable Machine Learning Models in Biomedicine is set to take place from March 2 to March 6, 2026, at the serene Tagungshaus Kloster Heiligkreustal in Sigmaringen, Germany. This event aims to bridge the gap between advanced machine learning techniques and their applications in biomedicine, focusing on creating interpretable models that can enhance understanding and trust in predictive analytics. Participants will engage in a series of lectures, hands-on workshops, and collaborative discussions led by prominent experts in the field.

Najważniejsze punkty

• Focus on interpretable machine learning for multimodal biomedical data.
• Hands-on workshops with real-world datasets.
• Lectures by experts from the University of Tübingen.
• Topics include single-cell biology, radiological imaging, and natural language processing.
• Collaborative environment fostering interdisciplinary projects.
• Accommodation and meals included in the registration fee.
• Application deadline: November 20, 2025 (early bird: October 20, 2025).
• Limited spots available; early application recommended.
• Venue located in the serene Heiligkreuztal Monastery.
• Opportunity to network with peers and leading researchers.

View the event location on the map or open the route in Google Maps.